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⏱ 3h📚 30 lessons
Quant Revision Guide for SNAP and CAT Exams
Accelerate your preparation for SNAP and CAT with a focused review of core quantitative aptitude topics, formulas, and modern problem-solving strategies.
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About this course
Preparing for competitive MBA entrance exams requires not just deep knowledge, but the ability to recall formulas and solve quantitative problems rapidly under tight time constraints. This text-based course offers a streamlined review of the essential quantitative aptitude topics you need to ace exams like the SNAP and CAT. You will rebuild your confidence by revisiting core mathematical principles, understanding quick-solving shortcuts, and learning how to approach complex word problems systematically. Here is what you will learn: Learn foundational arithmetic, algebra, and geometry concepts crucial for MBA entrance exams. Apply speed-math techniques and mental calculation shortcuts to save valuable exam time. Practice solving high-yield quantitative questions across number systems, modern math, and data interpretation. Analyze problem-solving strategies to identify the quickest path to the correct answer. Formulate a structured revision plan to reinforce key formulas and theorems before test day. Learn modern test-taking strategies, including option elimination and approximation techniques. The course begins with a thorough breakdown of key mathematical definitions and formulas, then progresses through targeted topic summaries, and concludes with practical problem-solving walkthroughs. This course is designed for beginners starting their intensive revision phase, requiring only a basic familiarity with high school mathematics. Start your quick quant revision today and sharpen your skills for exam success.
What you'll get
📜Certificate of completion Add it to your LinkedIn profile
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⚡Short & focused 3h of practical content
Certificate of completion
Every course you complete on PickAClass issues a credential like this — original, with its own code, verifiable by URL, and detailed about what was actually demonstrated.